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Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit
16 references·1 citing·22 second hop
Deep Learning Architecture for Short-Term Passenger Flow Forecasting in Urban Rail Transit (2020)Deep Learning Architecture for Short-Term…Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting (2019)Traffic Graph Convolutional R…T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction (2019)Revisiting Spatial-Temporal S…DeepPF: A deep learning based architecture for metro passenger flow prediction (2019)DeepPF: A deep learning based…A hybrid deep learning based traffic flow prediction method and its understanding (2018)A hybrid deep learning based …LSTM network: a deep learning approach for short‐term traffic forecast (2017)LSTM network: a deep learning…Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction (2017)Learning Traffic as Images: A…Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Deep Spatio-Temporal Residual…Using LSTM and GRU neural network methods for traffic flow prediction (2016)Using LSTM and GRU neural net…Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Long short-term memory neural…Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Traffic Flow Prediction With …Short‐term traffic forecasting: Overview of objectives and methods (2004)Short‐term traffic forecastin…Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results (2003)Modeling and Forecasting Vehi…Traffic Flow Forecasting: Comparison of Modeling Approaches (1997)Traffic Flow Forecasting: Com…Nonparametric Regression and Short‐Term Freeway Traffic Forecasting (1991)Nonparametric Regression and …Dynamic prediction of traffic volume through Kalman filtering theory (1984)Dynamic prediction of traffic…Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method (2021)Short-term origin-destination…Exponential smoothing: The state of the art (1985)Introduction to Time Series and Forecasting (2002)Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting (2019)Short-term traffic forecasting: Where we are and where we’re going (2014)GMAN: A Graph Multi-Attention Network for Traffic Prediction (2020)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)Prediction of human emergency behavior and their mobility following large-scale disaster (2014)Methodologies for Cross-Domain Data Fusion: An Overview (2015)Traffic prediction in a bike-sharing system (2015)Travel-Time Prediction With Support Vector Regression (2004)Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach (2017)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Graph neural network for traffic forecasting: A survey (2022)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions (2022)Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution (2022)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Traffic Flow Prediction via Spatial Temporal Graph Neural Network (2020)Deep Multi-View Spatial-Temporal Network for Taxi Demand Prediction (2018)
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References

  • 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
  • 2014Traffic Flow Prediction With Big Data: A Deep Learning Approach3,073 cited
  • 2017Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction2,450 cited
  • 2015Long short-term memory neural network for traffic speed prediction using remote microwave sensor data2,259 cited
  • 2003Modeling and Forecasting Vehicular Traffic Flow as a Seasonal ARIMA Process: Theoretical Basis and Empirical Results2,210 cited
  • 2017LSTM network: a deep learning approach for short‐term traffic forecast1,899 cited
  • 2016Using LSTM and GRU neural network methods for traffic flow prediction1,593 cited
  • 2017Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction1,442 cited
  • 1984Dynamic prediction of traffic volume through Kalman filtering theory1,115 cited
  • 2019Traffic Graph Convolutional Recurrent Neural Network: A Deep Learning Framework for Network-Scale Traffic Learning and Forecasting1,020 cited
  • 2019Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction921 cited
  • 2018A hybrid deep learning based traffic flow prediction method and its understanding806 cited
  • 1997Traffic Flow Forecasting: Comparison of Modeling Approaches686 cited
  • 2004

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Short‐term traffic forecasting: Overview of objectives and methods
599 cited
  • 1991Nonparametric Regression and Short‐Term Freeway Traffic Forecasting526 cited
  • 2019DeepPF: A deep learning based architecture for metro passenger flow prediction431 cited
  • Cited by

    • 2021Short-term origin-destination demand prediction in urban rail transit systems: A channel-wise attentive split-convolutional neural network method187 cited